Match

Shënkolli vs Valbona: result 1-5 and analysis

2nd Division - Group AGroup A - 6Kick-off on November 6, 2023 at 12:30 PM (UTC)Stadiumi Shënkoll, Shënkoll

Shënkolli
1-5
Valbona

Full time

What was the result of Shënkolli vs Valbona?

Valbona won 1-5 on November 6, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Shënkolli have 3 wins, 2 draws and 10 defeats; Valbona have 12, 1 and 2.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Shënkolli
DateOpponentScoreCompetition
Oct 28, 2023Sopoti Librazhd(home)0-32nd Division - Group A
Oct 21, 2023Gramshi(away)1-22nd Division - Group A
Oct 18, 2023Tomori Berat(away)0-1Cup
Oct 7, 2023Adriatiku(home)3-32nd Division - Group A
Sep 30, 2023Tërbuni Pukë(away)0-52nd Division - Group A
Valbona
DateOpponentScoreCompetition
Oct 28, 2023Gramshi(home)3-02nd Division - Group A
Oct 21, 2023Adriatiku(away)5-02nd Division - Group A
Oct 18, 2023Burreli(away)1-1Cup
Oct 7, 2023Tërbuni Pukë(home)3-22nd Division - Group A
Sep 30, 2023Veleçiku Koplik(away)2-12nd Division - Group A

What does the head-to-head say?

Across the last 4 meetings: 0 Shënkolli wins, 1 draw, 3 Valbona wins.

DateScoreCompetition
Apr 15, 2023Shënkolli 2-5 Valbona2nd Division - Group A
Dec 21, 2022Valbona 4-0 Shënkolli2nd Division - Group A
Apr 23, 2021Shënkolli 0-0 Valbona2nd Division - Group A
Dec 24, 2020Valbona 2-1 Shënkolli2nd Division - Group A

Last archived meeting: Shënkolli vs Valbona on Apr 15, 2023

How many goals should we expect?

Shënkolli score 1.5 and concede 2.7 goals per match over their last 15; Valbona score 2.7 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Shënkolli1.52.7010/1512/15
Valbona2.70.867/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2023-24 standings
#ClubPWDLGFGAPts
2Valbona181611501449

A question about Shënkolli vs Valbona?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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